Last modified: 07 Nov 2024 14:46
The aim of this course is to develop critical thinking, presentation and project design skills for research together with an enhancement of the necessary skills in numeracy, data manipulation and data interpretation. The course involves substantial workshop-based and student-led practical work designed to provide direct experience of these key components. Students will be introduced to the practical and theoretical aspects of various analytical techniques that are available in the School of Geosciences.
| Study Type | Undergraduate | Level | 4 |
|---|---|---|---|
| Term | First Term | Credit Points | 15 credits (7.5 ECTS credits) |
| Campus | Aberdeen | Sustained Study | No |
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Geoscience research involves a continuum of timescales, spanning the recent centuries and millennia to million/billion year timescales. In order to understand the deep time record it is necessary to understand contemporary processes in the fields of fluvial and glacial geomorphology and biogeography/palaeoecology. Staff across the School of Geosciences employ a wide range of laboratory analytical techniques in order to make sense of their samples. These range from low and high power optical microscopy, scanning and electron microscopy, grain size analyses and quantitative mineral analyses. A wide range of multivariate statistical analyses, age/depth modelling and Remote Sensing/GIS techniques are also employed by Geoscience staff.
The course will involve ‘hands-on’ experience of these techniques. These will be introduced during the first hour of the lecture, then you will utilise these techniques during the second hour of the ‘lecture’ slot in follow-on laboratory sessions.
You will acquire a number of specific practical skills associated with different field and laboratory research contexts. Building on these, in combination with your understanding of the research process, you should be able to:
Information on contact teaching time is available from the course guide.
| Assessment Type | Summative | Weighting | 25 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
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| Assessment Type | Summative | Weighting | 25 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
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| Assessment Type | Summative | Weighting | 25 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
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| Assessment Type | Summative | Weighting | 25 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
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There are no assessments for this course.
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Reflection | Evaluate | Generate hypotheses and statistical analyses to match the acquired data to the problem in question. Asses the validity of the statistical techniques. |
| Reflection | Create | Create a scientific report which outlines the extent to which the analytical/statistical techniques have resolved the problem in question. |
| Conceptual | Analyse | Critically analyse data and select and organise those which are relevant to the problem as defined. |
| Factual | Understand | Understand how Geoscience data can generated and analysed in order to understand Earth Science processes. |
| Factual | Apply | Apply analytical techniques by undertaking laboratory analysis and implementing data acquired to Geoscience problems. |
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